Triple

T13273891
Position Surface form Disambiguated ID Type / Status
Subject Love Story (1944 film) E316136 entity
Predicate starring P1507 FINISHED
Object Patricia Roc E457420 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Patricia Roc | Statement: [Love Story (1944 film), starring, Patricia Roc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Roc
Context triple: [Love Story (1944 film), starring, Patricia Roc]
  • A. Patricia Roc chosen
    Patricia Roc was a popular British film actress of the 1940s, best known for her roles in melodramas and wartime dramas produced by major UK studios.
  • B. Karin Ferrer
    Karin Ferrer is known as the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • C. Maria Conchita Alonso
    Maria Conchita Alonso is a Cuban-Venezuelan actress and singer known for her work in both Latin American and Hollywood films and television.
  • D. Patricia Farina
    Patricia Farina is best known as the wife of the late American actor and former Chicago police officer Dennis Farina.
  • E. Florinda Chico
    Florinda Chico was a Spanish character actress known for her prolific work in film and television, often playing comedic and supporting roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cfea308190836eb4892e7c5eb4 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:26 p.m.